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Publication search results
found 440 matches
- 2024
- Shijie Li, Xin Cao:
Monitoring the modes and phases of global human activity development over 30 years: Evidence from county-level nighttime light. Int. J. Appl. Earth Obs. Geoinformation 126: 103627 (2024) - Jeng-Shyang Pan, An-Ning Zhang, Shu-Chuan Chu, Jia Zhao, Václav Snásel:
An activity level based surrogate-assisted evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 164: 111967 (2024) - Yigui Huang, Deqin Xiao, Junbin Liu, Youfu Liu, Zujie Tan, Xiangyang Hui, Senpeng Huang:
Analysis of pig activity level and body temperature variation based on ear tag data. Comput. Electron. Agric. 219: 108768 (2024) - Xinjie Tan, Chengcheng Yin, Xiaoxin Li, Mingrui Cai, Weihao Chen, Zhen Liu, Junshu Wang, Yuxing Han:
SY-Track: A tracking tool for measuring chicken flock activity level. Comput. Electron. Agric. 217: 108603 (2024) - Chang Zhang, Tao Zhu, Hangxing Wu, Huansheng Ning:
PerMl-Fed: enabling personalized multi-level federated learning within heterogenous IoT environments for activity recognition. Clust. Comput. 27(5): 6425-6440 (2024) - Dimitrios I. Bourdas, Panteleimon Bakirtzoglou, Antonios K. Travlos, Vasileios Andrianopoulos, Emmanouil Zacharakis:
Comprehensive Dataset on Pre-SARS-CoV-2 Infection Sports-Related Physical Activity Levels, Disease Severity, and Treatment Outcomes: Insights and Implications for COVID-19 Management. Data 9(2): 23 (2024) - Zidong Yu, Changhe Zhang, Xiaoyun Wang, Deng Chao, Yuan Liu, Zeyu Yu:
Dynamic graph topology generating mechanism: Framework for feature-level multimodal information fusion applied to lower-limb activity recognition. Eng. Appl. Artif. Intell. 137: 109172 (2024) - Yinghui Zhang, Bo Sun, Jun He, Lejun Yu, Xiaochong Zhao:
Multi-level neural prompt for zero-shot weakly supervised group activity recognition. Neurocomputing 571: 127135 (2024) - George Samrani, Jonas Persson:
Encoding-related Brain Activity Predicts Subsequent Trial-level Control of Proactive Interference in Working Memory. J. Cogn. Neurosci. 36(5): 828-835 (2024) - Mizuki Enoki, Kai Watanabe, Hiroshi Noguchi:
Single Person Identification and Activity Estimation in a Room from Waist-Level Contours Captured by 2D Light Detection and Ranging. Sensors 24(4): 1272 (2024) - Mustafa A. Ghazi, Judy Zhou, Kathryn L. Havens, Beth A. Smith:
Accelerometer Thresholds for Estimating Physical Activity Intensity Levels in Infants: A Preliminary Study. Sensors 24(14): 4436 (2024) - Yi-Ting Hwang, Ya-Ru Hsu, Bor-Shing Lin:
Using $B$-Spline Model on Depth Camera Data to Predict Physical Activity Energy Expenditure of Different Levels of Human Exercise. IEEE Trans. Hum. Mach. Syst. 54(1): 79-88 (2024) - Haoran Zhang, Linhai Xu:
Multi-STMT: Multi-Level Network for Human Activity Recognition Based on Wearable Sensors. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - Kosuke Suzuki, Koichi Adachi, Mai Ohta, Osamu Takyu, Takeo Fujii:
Packet-Level Index Modulation Based on Channel Activity Detection. IEEE Trans. Wirel. Commun. 23(4): 2812-2823 (2024) - Adam G. Polak, Monika A. Prucnal, Krzysztof Adamczyk:
Analysis of the Relationship Between Electrodermal Activity and Blood Glucose Level in Diabetics. IWBBIO (1) 2024: 250-262 - Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas, Jose-Luis Bayo-Monton:
Synergy of Information in Multimodal IoT Systems - Discovering the impact of daily behaviour routines on physical activity level. CoRR abs/2403.14707 (2024) - Phoebe Jing, Yijing Gao, Xianlong Zeng:
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation. CoRR abs/2404.14746 (2024) - Geeling Chau, Christopher Wang, Sabera Talukder, Vighnesh Subramaniam, Saraswati Soedarmadji, Yisong Yue, Boris Katz, Andrei Barbu:
Population Transformer: Learning Population-level Representations of Intracranial Activity. CoRR abs/2406.03044 (2024) - 2023
- Sanat Ramesh:
Multi-level surgical activity recognition. (Reconnaissance multi-niveaux de l'activité chirurgicale). University of Strasbourg, France, 2023 - Saad Shaban:
Machine learning techniques for estimation of human tiredness level from brain electrical activity. Altınbaş University, Turkey, 2023 - Foued Saâdaoui, Hana Rabbouch, Fréderic Dutheil, Pierre R. Bertrand, Gil Boudet, Karine Rouffiac, Alain Chamoux:
Data Mining for Estimating the Impact of Physical Activity Levels on the Health-Related Well-Being. Adv. Data Sci. Adapt. Anal. 15(1&2): 2350002:1-2350002:18 (2023) - Stefan Kalabakov, Borche Jovanovski, Daniel Denkovski, Valentin Rakovic, Bjarne Pfitzner, Orhan Konak, Bert Arnrich, Hristijan Gjoreski:
Federated Learning for Activity Recognition: A System Level Perspective. IEEE Access 11: 64442-64457 (2023) - Svonko Galasso, Renato Baptista, Mario Molinara, Serena Pizzocaro, Rocco Salvatore Calabrò, Alessandro Marco De Nunzio:
Predicting physical activity levels from kinematic gait data using machine learning techniques. Eng. Appl. Artif. Intell. 123(Part C): 106487 (2023) - E. Anbalagan, S. Malathi Anbhazhagan:
Deep learning model using ensemble based approach for walking activity recognition and gait event prediction with grey level co-occurrence matrix. Expert Syst. Appl. 227: 120337 (2023) - Jesus GomezRomero-Borquez, Jose Alberto Del Puerto-Flores, Carolina Del-Valle-Soto:
Mapping EEG Alpha Activity: Assessing Concentration Levels during Player Experience in Virtual Reality Video Games. Future Internet 15(8): 264 (2023) - Jason Richard Byrne:
Determinant of Optimal and Inhibited Mobile Language Learning Activity: Quiz Level Length. Int. J. Interact. Mob. Technol. 17(10): 47-68 (2023) - Md. Milon Islam, Sheikh Nooruddin, Fakhri Karray, Ghulam Muhammad:
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things. Inf. Fusion 94: 17-31 (2023) - Mahdi Ghasemi, Nassim Ravanshad, Hamidreza Rezaee-Dehsorkh:
Reducing the power consumption of level-crossing analog-to-digital converters by using a signal activity monitoring circuit. Microelectron. J. 142: 106013 (2023) - Gunsik Lim, Beomseok Oh, Donghyun Kim, Kar-Ann Toh:
Human Activity Recognition via Score Level Fusion of Wi-Fi CSI Signals. Sensors 23(16): 7292 (2023) - Ricardo Muñoz-Cancino, Sebastián A. Ríos, Manuel Graña:
Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics. Sensors 23(11): 5165 (2023)
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